Lately, I've been questioning whether the future of AI trading agents is really about building smarter agents. Every project seems focused on better predictions, faster execution, and more automation. But the more I think about it, the more I feel we're overlooking a much bigger question: when an AI agent creates value, who actually deserves to benefit from it?

That's what pulled me toward @OpenLedger . With a market cap of $56.84M and around 28.20K holders, it's still relatively early. But what caught my attention wasn't the valuation. It was the economic model sitting underneath the technology.

Imagine an agent identifying a profitable opportunity across DeFi markets. The trade may look autonomous, but the intelligence behind it isn't. It depends on data contributors, model builders, and developers who helped create the conditions for that decision. In most systems, those contributions disappear into the background.

The more I think about it, the more I feel autonomous finance has the same problem social media once had: value is created by many participants, but captured by very few.

That's why #OpenLedger 's Proof of Attribution stands out to me. Through Datanets, OpenLoRA, and agent frameworks like OctoClaw, the protocol is attempting to connect economic rewards back to the people and resources that generated the outcome in the first place.

The market seems to view OPEN as an AI project. I'm starting to wonder if it's actually an attribution project disguised as one.

I could be wrong, but the next phase of autonomous DeFi may not be won by the smartest agents. It may be won by the networks that create the fairest economic system around them. And that's why OpenLedger feels less like another AI narrative and more like infrastructure being built before the market realizes it needs it.

Which AI infrastructure project has the strongest long term economic model, $OPEN $AI or $FET ?